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Adaptive power ranges and associations for self-healing in multiple types of Wi-Fi networks

机译：自适应功率范围和关联，可在多种类型的Wi-Fi网络中进行自我修复

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摘要

Wi-Fi wireless communication has become a basic service in public areas. However, the quality of service (QoS) might be inadequate in some areas because of the following influential factors: 1) the limited number of non-overlapping channels, 2) the interference caused by unplanned deployment and mobility, 3) the rapidly changing distribution of customers, and 4) access point (AP) failures. These factors result in non-uniform network traffic distribution and unavailability of service in some areas. Hence, this study focused on addressing the problems of AP failure and interference. We propose a self-healing algorithm to provide seamless and reliable service despite AP failures. The proposed water ripple algorithm maximizes the minimum delay difference, which is defined as the difference between transmission delay and tolerable delay, to satisfy requirements of multiple users simultaneously. Variable transmission power ranges (which involve cell breathing method types) and association management are adjusted to minimize the number of out-of-service mobile devices (MDs). Thus, fair allocation of resources to users and adequate QoS are satisfied.
机译：Wi-Fi无线通信已成为公共区域的基本服务。但是，由于以下影响因素，某些地区的服务质量（QoS）可能不足：1）非重叠信道数量有限; 2）计划外部署和移动性造成的干扰; 3）分布迅速变化的干扰客户;以及4）接入点（AP）故障。这些因素导致某些地区的网络流量分配不均匀以及服务不可用。因此，本研究专注于解决AP故障和干扰的问题。我们提出了一种自愈算法，即使AP出现故障也可以提供无缝和可靠的服务。所提出的水波纹算法使最小延迟差最大化，该最小延迟差被定义为传输延迟与可容忍延迟之间的差，以同时满足多个用户的需求。调整了可变的发射功率范围（涉及小区呼吸方法的类型）和关联管理，以最大程度地减少服务外移动设备（MD）的数量。因此，满足了对用户的公平资源分配和足够的QoS。

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